Title: Investments: Analysis and Management, Second Canadian Edtiion
1Chapter 10
Market Efficiency
2Learning Objectives
- Explain the concept of efficient markets.
- Describe the three forms of market efficiency
weak, semi-strong, and strong - Discuss the evidence regarding the Efficient
Market Hypothesis. - State the implications of market efficiency for
investors. - Outline major exceptions to the Efficient Market
Hypothesis.
3Efficient Markets
- How well markets respond to new information is a
very important part of obtaining the equilibrium
relationship predicted by the capital market
theory - Should it be possible to decide between a
profitable and unprofitable investment given
current information? - Efficient Markets
- The prices of all securities quickly and fully
reflect all available information
4Efficient Markets
- Definition of all available information
- All known information including
- Past information (e.g., last years earnings)
- Current information as well as events that have
been announced but are still forthcoming (e.g.,
stock splits and dividends) - Information that can be reasonably inferred
- For example, if many investors believe that
interest rates will decline soon, prices will
reflect this belief before the actual decline
occurs
5Conditions for an Efficient Market
- Why the markets can be expected to be efficient?
- Large number of rational, profit-maximizing
investors - Actively participate in the market
- Individuals cannot affect market prices (i.e.,
price-takers) - Information is costless and widely available to
market participants at approximately the same
time - Information is generated in a random fashion
(e.g., announcements or currency is devalued) - Investors react quickly and fully to new
information causing stock prices to adjust
accordingly
6Consequences of Efficient Market
- Quick price adjustment in response to the arrival
of random information makes the reward for
analysis low - Prices reflect all available information
- Price changes are independent of one another and
move in a random fashion - New information is independent of past
7Market Efficiency Forms
- Efficient market hypothesis (EMH)
- The proposition that securities markets are
efficient, with prices of securities reflecting
their true economic value - Three levels of Market Efficiency
- Weak form prices reflect past market data
(i.e., historical price and volume information
for stocks and indexes) - Semi-strong form prices reflect all public
information - Strong form prices reflect all information,
both public and private
8Cumulative Levels of Market Efficiency and the
Information Associated with Each
Strong Form All Information
Semi-Strong Form Public Information
Weak Form Market Data
9Weak Form
- Prices reflect all past price and volume data
- Technical analysis, which relies on the past
history of prices, is of little or no value in
assessing future changes in price - Market adjusts or incorporates this information
quickly and fully
10Semi-Strong Form
- Prices reflect all publicly available information
- For example earnings, dividends, stock split
announcements, new product developments,
financing difficulties, and accounting changes - Investors cannot act on new public information
after its announcement and expect to earn
above-average, risk-adjusted returns - Encompasses weak form as a subset since market
data are part of the larger set of all publicly
available information
11Strong Form
- Prices reflect all information, public and
private - No group of investors should be able to earn
abnormal rates of return by using publicly and
privately available information - Encompasses weak and semi-strong forms as subsets
and represents the highest level of market
efficiency
12Evidence on Market Efficiency
- Keys to testing the validity of any of the three
forms of market efficiency - Consistency of returns in excess of risk
- Length of time over which returns are earned
- Short-lived inefficiencies appearing on a random
basis do not constitute evidence of market
inefficiencies, at least in an economic sense - Economically efficient markets
- Assets are priced so that investors cannot
exploit any discrepancies and earn unusual
returns - Transaction costs matter
13Weak-Form Evidence
- Ways to test for weak-form efficiency
- Test for independence (randomness) of stock price
changes Random Walk Hypothesis - If stock prices are independent, trends in price
changes do not exist - Knowing and using the past sequence of price
information is of no value to an investor - Test for profitability of trading rules after
brokerage costs - Simple buy-and-hold better
- Buying a portfolio of stocks and holding it
until a common liquidation date
14Weak-Form EMH
- Stock price changes in an efficient market should
be independent - Statistical tests of price changes are mostly
supportive of weak-form EMH - The sign test involves classifying each price
change by its sign, which means whether it was ,
0, or - Then the runs in the series of signs can be
counted and compared to known information about a
random series - Runs tests
- looking for patterns in signs of returns
- i.e. - -
15Weak-Form EMH
- The signs test supports independence of stock
price changes - Although some runs do occur, they fall within the
limits of randomness since a truly random series
will exhibit some runs - Technical trading rules
- Technical analysts believe that trends not only
exist but can also be used successfully - Little evidence exists that technical trading,
based solely on past price and volume data, can
outperform a simple buy-and-hold strategy
16Two Apparent Contradictions to the Weak-Form EMH
- Momentum or persistence in stock returns
- tendency of stocks that have done well over the
past 6 to 12 months to continue to do well over
the next 6 to 12 months - Contrarian Strategies
- Overreaction Hypothesis DeBondt Thaler (1985)
- stocks that have done well over the past 3-5 year
period, will do poorly over the subsequent 3-5
year period
17Two Apparent Contradictions to the Weak-Form EMH
- Contrarian strategies are trading strategies
designed to exploit the overreaction hypothesis - Since the underlying rationale is to purchase or
sell stock in anticipation of achieving future
results that are contrary to their past
performance record - DeBondt and Thaler are testing whether the
overreaction hypothesis is predictive - In other words, knowing past stock returns
appears to help significantly in predicting
future stock returns
18Semi-Strong-Form Evidence
- Event studies
- Empirical analysis of stock price behaviour
surrounding a particular event - Usually use an index model of stock returns such
as single-index model - Examine company unique returns
- The residual error between the securitys actual
return (Rit ) and that given by the index model
E(Rit) - Abnormal return (Arit) Rit - E(Rit)
- n
- Cumulative abnormal return (CAR) S Arit
- t1
- CAR is the sum of the individual abnormal returns
over the period of time under examination
19Semi-Strong-Form Evidence
- Stock splits
- (Fig 10.4 pg 281) Implications of split
reflected in price immediately following the
announcement and not the event itself - Accounting changes
- Quick reaction to real change in economic value
(e.g., depreciation, inventory reporting LIFO
vs. FIFO)
- Initial public offerings
- Only issues purchased at offer price yield
abnormal returns - This is attributed to underpricing by the
underwriters - Announcements and news
- Little impact on price after release
- Involving economic news (e.g., inflation or Bank
of Canada rate)
20Professional Portfolio Manager Performance
- There is substantial evidence that portfolio
managers do not outperform the market (or earn
abnormal risk-adjusted returns) over the long run - The average active portfolio manager may
underperform the market index by 50 to 200 basis
points - Based on fund averages (US-based equity mutual
funds pension funds)
21Strong-Form Evidence
- Test performance of groups which have access to
nonpublic (private) information - Corporate insiders have valuable private
information - A corporate insider is an officer, director, or
major stockholder of a corporation who might be
expected to have valuable inside information - Evidence that many have consistently earned
abnormal returns on their stock transactions
(strong-form efficiency is not supported) - Insider transactions must be publicly reported
(OSC requires reporting y the tenth day of the
next month)
22Implications of Efficient Market Hypothesis
- What should investors do if markets are
efficient? - 1- Technical analysis
- Not valuable if weak-form holds
- The evidence accumulated to date overwhelmingly
favors the weak-form EMH and casts doubt on
technical analysis
23Implications of Efficient Market Hypothesis
- 2- Fundamental analysis
- Seeks to estimate the intrinsic value of a
security - Not valuable if semi-strong-form holds (since
stock prices reflect all relevant publicly
available information, gaining access to
information others already have is of no value) - EMH suggests that investors who use the same data
and make the same interpretations as other
investors will experience average results
24Implications of Efficient Market Hypothesis
- 3- Money Management
- For professional money managers (assuming that
the market is efficient) - Less time spent on assessing individual
securities - Passive investing favored (one passive investment
strategy that is becoming increasingly popular is
indexing, which involves the construction of
portfolios designed to mimic the performance of a
chosen market benchmark portfolio, such as
SP/TSX Composite Index) - Otherwise, must believe in superior insight
25Implications of Efficient Market Hypothesis
- 3- Money Management
- Tasks that portfolio managers have to perform if
markets are informationally efficient - Maintain correct amount of diversification
- Achieve and maintain a desired level of portfolio
risk - Manage tax burden
- Control transaction costs (can be done through
index funds)
26Market Anomalies
- Exceptions (techniques or strategies) that appear
to be contrary to market efficiency - Regardless of how persuasive the case for market
efficiency is, debate of this issue id likely to
persist
27Market Anomalies
- Size effect
- Tendency for small firms to have higher
risk-adjusted returns than large firms - Market betas could not account for the abnormal
returns - Bid-ask spreads, which are higher for smaller
stocks, could not account for the abnormal
returns - As a result, when trading on the TSX, the
small-firm strategy may be a viable strategy for
increasing portfolio returns without an
offsetting increase in risk
28Market Anomalies
- Seasonality in stock returns
- January effect
- Tendency for small firm stock returns to be
higher in January - Of the 30.5 small-size premium, half of the
effect occurs in January - Referred to as the small firm in January effect
because it is most prevalent for the returns of
small-cap stocks - More than half of the excess January returns
occurred during the first five trading days of
that month
29Market Anomalies
- Seasonality in stock returns
- Day-of-the-week effect
- The average Monday return is negative and
significantly different from the average return
of the other four days - Day-of-the-month effect
- Returns tend to be higher on the last trading day
of each month
30Conclusions about Market Efficiency
- Support for market efficiency is persuasive
- Much research using different methods
- Also many anomalies that cannot be explained
satisfactorily - Markets are quite efficient, but not totally
- To outperform the market, superior fundamental
analysis (beyond the norm) must be done - The fundamental analysis that is done everyday is
already reflected in stock prices
31Conclusions about Market Efficiency
- If markets are operationally efficient, some
investors with the skill to detect a divergence
between price and semi-strong value (price based
on all available public information) earn profits - Excludes the majority of investors
- Anomalies offer opportunities
- Controversy about the degree of market efficiency
still remains - The evidence to date suggests that investors face
an operationally efficient market